🏁 Jamal Crawford
Instagram: @JamalCrawford. l love basketball, but basketball doesn't define me.
1.638.265
Followers
4.094
Following
34.629
Tweets
1.370,7
Avg Engagement
3.376
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JCrossover's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mega Influencer (1M+)
- Account Age:2011-09-22
- Verification:No
- Location:Seattle
Data Summary
- Tweets Analyzed:3.249
- Avg Likes per Tweet:1.178,7
- Avg Retweets per Tweet:192,0
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.249 tweetsHis tweets receive high engagement with an average of 73,910 likes and 7,978 retweets per tweet.
1.178,7
Avg Likes/Tweet
192,0
Avg Retweets/Tweet
3.829.502
Total Likes
623.951
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
129
Median Likes
11
Median Retweets
683
75th Percentile
269.752
Top Tweet
0,84
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
29,0%
Original
6,0%
Replies
3,0%
Retweets
62,0%
Quotes
0,0%
Threads
0,1%
With Media
74,5%
With Links
2,8%
With #Tags
27,0%
With @Mentions
44,8%
With Emojis
64
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,21
Reply/Original Ratio
20,77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,5%
Weekday Posts
24,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.249 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 97 retweets (3% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3.249 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50.000 followersHis audience is likely sports enthusiasts, particularly basketball fans, and those interested in personal stories and insights.
Below Average
Audience Quality
35,9%
Suspicion Index
47,4%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56,8%
Empty Bio
51,7%
<10 Tweets
5,5%
Mass Following (>2K)
0,0%
New (<90 days)
77,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,6%
No URL
38,1%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
21.162.526
Total Potential Reach
7
Median Follower Reach
36
75th Percentile Reach
2,1%
>1K followers
0,3%
>10K followers
0,1%
>50K followers
0,1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
26,8%
Creators
13.396 accounts
21,5%
Consumers
10.762 accounts
51,7%
Dormant
25.842 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
620
Verified Followers
0.61% of total
8.991
Protected Accounts
8.9% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @Giannis_An34 | 2.967.772 | Athlete | Basketball, Nigeria, Greece |
| @JAYVERSACE | 1.647.149 | Entertainer | olorisa, obatalá, afrotunes |
| @utahjazz | 1.272.921 | Sports Team | Basketball, Utah, TakeNote |
| @jimrome | 1.244.841 | Sports commentator | Sports, Talk Show Host, Instagram |
| @NOH8Campaign | 801.957 | Activism | equality, bullying, discrimination |
| @Mariners | 701.760 | Sports Team | Baseball, Seattle, Social media |
| @ScottiePippen | 679.165 | Basketball Player | Basketball, Family, Legacy |
| @the_ironsheik | 641.905 | Wrestler | wrestling, legend, movie |
| @rudygobert27 | 609.292 | Basketball Player | Basketball, Defense, Health |
| @DougBaldwinJr | 544.950 | Athlete | Family, Improvement, Dedication |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49.251
Followers With Bio
51.748
Followers Without Bio
48.76%
% With Bio
51.24%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.249 analyzed877.008
Combined Engagement
802.513
Total Likes
74.495
Total Retweets
175.402
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
“ Goodbye to the game, all the spoils the adrenaline rush.” Thank you basketball, I owe you everything …..✌🏾 https://t.co/PpKYjoqz9p
Everyone else is ME. TF lol… https://t.co/sHhsOg4bAg
Lavar tried to tell us… https://t.co/rYTgIQysIR
Bron telling the league if you take Bronny, you get me too is one of the most G moves ever…
✍🏾 https://t.co/bacUP4IJ02
Key Insights & Takeaways
He often shares personal reflections and emotional moments related to basketball. He engages with sports culture and celebrity interactions, such as referencing LeBron James. His content blends personal identity with professional achievements in sports.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.638.265
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @JCrossover reveals an exceptionally influential Twitter presence with 1.638.265 followers. The account demonstrates a content-creator strategy, averaging 1.370,7 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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